A candidate for being eligible for admission to the three years integrated course / program leading to the degree of bachelor of Science (B.Sc.) must have passed higher secondary school certificate examination (XII) in science stream conducted by the Maharashtra State Board of Secondary and Higher Secondary Education with Mathematics and Statistics as one of the subjects or its equivalent.
Must have passed at least the second year examination of the post S.S.C (X). Three year Engineering Diploma Course conducted by / approved by / recognized by affiliated by the Maharashtra Board of Technical Education or another body board recognized as equivalent thereto.
Further, that such students of Engineering Diploma Courses will be eligible to offer admission to the F.Y.B.Sc. applied Statistics and Data Analytics (Honours)
On completion of the B.Sc. (Hons.) in Applied Statistics & Data Analytics the learners should be enriched with knowledge and be able to-
PSO1: Acquire:
(i) Fundamental/systematic or coherent understanding of the academic field of Statistics and its different learning areas and applications;
(ii) procedural knowledge that creates different types of professionals related to subject area of Statistics, including professionals engaged in government/public service and private sectors;
(iii) skills in areas related to one’s specialization area within the disciplinary/subject area of Statistics and emerging developments in the field of Statistics.
PSO2: Demonstrate the ability to use skills in Statistics and different practicing areas for formulating and tackling Statistics related problems and identifying and applying appropriate principles and methodologies to solve a wide range of problems associated with Statistics.
PSO3: Recognize the importance of statistical modeling and computing, and the role of approximation and mathematical approaches to analyze the real problems using various Statistical tools.
PSO4: Plan and execute Statistical experiments or investigations, analyze and interpret data/information collected using appropriate methods, including the use of appropriate statistical software including programming languages, and report accurately the findings of the experiment/investigations.
